Data Modeler
- Excelon Solutions
9 Hours Ago
NA
C2C
Daytona Beach-FL
8-10 Years
Required Skills: Enterprise Data Modeling, Dimensional Modeling, Star Schema, Snowflake Schema, SQL
Job Description
We are seeking an experienced Data Modeler with strong expertise in Data Modeling, Databricks Lakehouse, and Azure Data Platform. The candidate will design and maintain enterprise data models and collaborate with architects, engineers, and business stakeholders to support data modernization and cloud transformation initiatives.
Key Responsibilities
Design and maintain Conceptual, Logical, and Physical Data Models for enterprise data platforms.
Develop data models for Databricks Lakehouse architecture across Bronze, Silver, and Gold layers.
Define data entities, attributes, relationships, business rules, and data structures.
Develop Source-to-Target Mapping, data lineage, and support data migration activities.
Collaborate with Data Architects, Data Engineers, and Business Analysts to translate business requirements into scalable data models.
Support data warehouse, data lake, and data modernization initiatives.
Ensure data quality, governance, consistency, and scalability.
Participate in architecture discussions, model reviews, and data governance processes.
Develop data models for Databricks Lakehouse architecture across Bronze, Silver, and Gold layers.
Define data entities, attributes, relationships, business rules, and data structures.
Develop Source-to-Target Mapping, data lineage, and support data migration activities.
Collaborate with Data Architects, Data Engineers, and Business Analysts to translate business requirements into scalable data models.
Support data warehouse, data lake, and data modernization initiatives.
Ensure data quality, governance, consistency, and scalability.
Participate in architecture discussions, model reviews, and data governance processes.
Required Skills
Strong experience in Enterprise Data Modeling.
Hands-on experience with Databricks / Azure Databricks and Lakehouse architecture.
Strong knowledge of Dimensional Modeling, Star Schema, Snowflake Schema, and Data Vault concepts.
Experience with Delta Lake and Spark-based data platforms.
Strong SQL and data analysis skills.
Experience with Source-to-Target Mapping, Data Lineage, and Data Quality.
Experience working on large-scale Data Warehouse, Data Lake, or Data Modernization projects.
Strong stakeholder communication and requirement-gathering skills.
Ability to work effectively in Agile/Scrum environments.
Hands-on experience with Databricks / Azure Databricks and Lakehouse architecture.
Strong knowledge of Dimensional Modeling, Star Schema, Snowflake Schema, and Data Vault concepts.
Experience with Delta Lake and Spark-based data platforms.
Strong SQL and data analysis skills.
Experience with Source-to-Target Mapping, Data Lineage, and Data Quality.
Experience working on large-scale Data Warehouse, Data Lake, or Data Modernization projects.
Strong stakeholder communication and requirement-gathering skills.
Ability to work effectively in Agile/Scrum environments.
